[All remote jobs](https://jobicy.com/jobs.md)[![Databricks logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/12/4e3f864ba9cf3c62d471e1c62414d098.jpg)](https://jobicy.com/company/databricks.md)[Databricks](https://jobicy.com/company/databricks.md) # Sr. Solutions Engineer – Digital Native Business (Strategic Accounts) AI Summary Databricks is seeking a senior customer-facing Solutions Engineer to lead discovery, solution design, platform demonstrations, and proofs of concept for strategic digital-native accounts. The role combines hands-on data engineering and cloud architecture with technical pre-sales partnership to expand adoption of the Databricks platform. Candidates need strong Python and SQL skills, distributed-data expertise, and experience working with AWS, Azure, or GCP. The engineer will own technical customer relationships, create reusable solution assets, and communicate architecture and business value to varied technical stakeholders.[Apply for this job](#job-application)[View company](https://jobicy.com/company/databricks.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 152,300–209,450 / yrDepartment[Sales](https://jobicy.com/categories/seller.md)EmploymentFull TimeExperienceDirectorPublished7 Nov 2026Apply before7 Dec 2026Listing views30Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. The Role As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive [Databricks](https://jobicy.com/company/databricks.md) adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage within Digital Native customers. The Impact You Will Have * Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning * Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins * Own frontline technical relationships with customer engineers, data teams, and technical leads * Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption * Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations * Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For * 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role * Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage * Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) * Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) * Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews * Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics * Strong presentation and demo skills — you will build and present a live solution during the interview * Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: * Databricks certification or experience with the Databricks Platform * Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow * Background at a data/AI company, cloud provider, or technical consulting firm Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf). Local Pay Range $152,300—$209,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en). Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing). Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more [Apply now >](https://jobicy.com/jobs/159514-sr-solutions-engineer-digital-native-business-strategic-accounts.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightРоль требует одновременно глубокой практической экспертизы в data engineering, облачной архитектуре и распределённых системах, а также уверенного ведения технических продаж. Кандидат должен самостоятельно проводить discovery, live coding, демонстрации и стратегические технические обсуждения с заказчиками. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$180,875US market range (per year)$150k–$220k0$242.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Указан диапазон $152,300–$209,450 USD; период оплаты в описании не назван, но для senior-level US Solutions Engineer он логично интерпретируется как годовой. Середина заявленного диапазона составляет $180,875 в год. Оценочный рыночный диапазон для аналогичной senior technical pre-sales роли в США составляет $150,000–$220,000 в год без учёта equity, бонусов и комиссионных компонентов. ## Core skills Skills and capabilities most closely associated with this opportunity. [Technical pre-sales](https://jobicy.com/jobs?search_keywords=Technical%20pre-sales.md)[Solutions architecture](https://jobicy.com/jobs?search_keywords=Solutions%20architecture.md)[Data engineering](https://jobicy.com/jobs?search_keywords=Data%20engineering.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[Cloud computing](https://jobicy.com/jobs?search_keywords=Cloud%20computing.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Azure](https://jobicy.com/jobs?search_keywords=Azure.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[ETL/ELT](https://jobicy.com/jobs?search_keywords=ETLELT.md)[Machine learning](https://jobicy.com/jobs?search_keywords=Machine%20learning.md)[Customer discovery](https://jobicy.com/jobs?search_keywords=Customer%20discovery.md)[Technical demonstrations](https://jobicy.com/jobs?search_keywords=Technical%20demonstrations.md)[Data platform architecture](https://jobicy.com/jobs?search_keywords=Data%20platform%20architecture.md) Sample interview questionsHow would you structure a technical discovery session for a customer evaluating Databricks?I would begin by clarifying business outcomes, target users, current data architecture, workloads, pain points, security requirements, and success metrics. I would then map those needs to a prioritized technical use case and agree on a measurable proof-of-concept plan. Describe how you would design a scalable data pipeline using Spark and Delta Lake. I would use layered ingestion and transformation patterns, typically bronze, silver, and gold tables, with incremental processing and schema management. I would optimize Spark execution through partitioning, file sizing, caching where appropriate, and monitoring of job performance and data quality. How do you handle a live technical demo when a customer asks an unexpected deep technical question? I would address the question transparently, explain the relevant architecture or trade-off, and validate it directly in the platform when possible. If the answer requires follow-up, I would clearly capture the question, provide an interim recommendation, and return with a tested answer promptly. What approach would you take to troubleshoot a slow Spark workload? I would inspect the execution plan, stage metrics, data skew, shuffle volume, partition counts, joins, and file layout. Based on the findings, I could adjust join strategies, repartition data, reduce shuffles, optimize Delta tables, and tune cluster configuration while validating each change with performance measurements. How would you partner with an Account Executive to expand usage within an existing strategic account? I would jointly create an account technical strategy that identifies existing workloads, adoption barriers, stakeholder groups, and adjacent high-value use cases. I would use workshops, architecture reviews, and targeted demonstrations to build technical champions and connect platform capabilities to measurable customer outcomes. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. 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